Chaoqi Wang
Artificial Intelligence · 1 papers · 2020
A researcher in the Science corpus: 1 paper; trusts 52 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it; #30,786 of 35,345 by trust here, #21,316 by citations
- Computer Vision and Pattern Recognition — 21 citations into it; #18,907 of 21,575 by trust here, #14,151 by citations
- Efficiency & Compression — 17 citations into it; #1,091 of 1,264 by trust here, #1,030 by citations
- Scaling & Learning Theory — 10 citations into it
- Optimization & Training — 9 citations into it; #2,411 of 2,601 by trust here, #1,841 by citations
- Model Architectures — 7 citations into it
Whom Chaoqi Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Yann LeCun
- Jonathan Frankle
- Karen Simonyan
- Geoffrey E. Hinton
- Yoshua Bengio
- X. Zhang
- N. Schraudolph
- Barak A. Pearlmutter
Who trusts Chaoqi Wang overall
Papers from Chaoqi Wang's perspective
Ordered by how strongly the researchers Chaoqi Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Picking Winning Tickets Before Training by Preserving Gradient Flow (2020) — 770 citations